Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 457

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Detection of Bacteria with Carbohydrate-Functionalized Fluorescent Polymers

Disney, Matthew D., Zheng, Juan, Swager, Timothy M., Seeberger, Peter H.·2004·Journal of the American Chemical Society

Abstract

Many pathogens that infect humans use cell surface carbohydrates as receptors to facilitate cell-cell adhesion. The hallmark of these interactions is their multivalency, or the simultaneous occurrence of multiple interactions. We have used a carbohydrate-functionalized fluorescent polymer, which displays many carbohydrate ligands on a single polymer chain, to allow for multivalent detection of pathogens. Incubation of a mannose-functionalized polymer with Escherichia coli yields brightly fluorescent aggregates of bacteria. These results show that carbohydrate-functionalized fluorescent polymers are a versatile detection method for bacteria. Future design of detectors for other pathogens only requires information on the carbohydrates bound by the organisms, which has been exhaustively reported in the literature.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/ja047936i

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 457

Metadata

Authors
Disney, M. D., Zheng, J., Swager, T. M., & Seeberger, P. H.
Venue
Journal of the American Chemical Society
Published
2004-09-25
Volume
126
Issue
41
Pages
13343-13346
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W1986772160
Cited by
457
References
1
FWCI
12.31
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Detection of Bacteria with Carbohydrate-Functionalized Fluorescent Polymers. https://app.cochat.ai/papers/10.1021/ja047936i
The paper
Disney, M. D., Zheng, J., Swager, T. M., & Seeberger, P. H. (2004). Detection of Bacteria with Carbohydrate-Functionalized Fluorescent Polymers. Journal of the American Chemical Society. https://doi.org/10.1021/ja047936i

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.